Journal ArticleDOI
Geodesic Active Contours
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TLDR
In this article, a geodesic approach based on active contours evolving in time according to intrinsic geometric measures of the image is presented. But this approach is not suitable for 3D object segmentation.Abstract:
A novel scheme for the detection of object boundaries is presented. The technique is based on active contours evolving in time according to intrinsic geometric measures of the image. The evolving contours naturally split and merge, allowing the simultaneous detection of several objects and both interior and exterior boundaries. The proposed approach is based on the relation between active contours and the computation of geodesics or minimal distance curves. The minimal distance curve lays in a Riemannian space whose metric is defined by the image content. This geodesic approach for object segmentation allows to connect classical “snakes” based on energy minimization and geometric active contours based on the theory of curve evolution. Previous models of geometric active contours are improved, allowing stable boundary detection when their gradients suffer from large variations, including gaps. Formal results concerning existence, uniqueness, stability, and correctness of the evolution are presented as well. The scheme was implemented using an efficient algorithm for curve evolution. Experimental results of applying the scheme to real images including objects with holes and medical data imagery demonstrate its power. The results may be extended to 3D object segmentation as well.read more
Citations
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Journal ArticleDOI
Automatic clinical image segmentation using pathological modeling, PCA and SVM
TL;DR: The proposed method takes the strengths of both machine learning and the variational level set method while limiting their weaknesses to achieve automatic and fast clinical segmentation and can be used during pre-processing for automatic computer-aided diagnosis.
Journal ArticleDOI
Active contours driven by local and global fitted image models for image segmentation robust to intensity inhomogeneity.
TL;DR: A two- phase model is first derived and then extended to a four-phase model to segment brain magnetic resonance (MR) images into the desired regions of interest and a quantitative and qualitative comparison with state-of-the-art active contour methods are used to show the advantages of the proposed segmentation technique in practical terms.
Patent
Method and apparatus for ear canal surface modeling using optical coherence tomography imaging
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Multiatlas segmentation of thoracic and abdominal anatomy with level set-based local search.
TL;DR: It is shown that significant changes are needed to autosegment thoracic and abdominal datasets by combining multi‐atlas deformable registration with a level set‐based local search.
Journal ArticleDOI
Geometric curve flows on parametric manifolds
Alon Spira,Ron Kimmel +1 more
TL;DR: Efficient numerical schemes for the implementation of the classical geodesic curve evolution equations on parametric manifolds are presented and used to implement two applications: scale space of images painted on manifolds and segmentation by an active contour model.
References
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Journal ArticleDOI
Snakes : Active Contour Models
TL;DR: This work uses snakes for interactive interpretation, in which user-imposed constraint forces guide the snake near features of interest, and uses scale-space continuation to enlarge the capture region surrounding a feature.
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Fronts propagating with curvature-dependent speed: algorithms based on Hamilton-Jacobi formulations
Stanley Osher,James A. Sethian +1 more
TL;DR: The PSC algorithm as mentioned in this paper approximates the Hamilton-Jacobi equations with parabolic right-hand-sides by using techniques from the hyperbolic conservation laws, which can be used also for more general surface motion problems.
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User’s guide to viscosity solutions of second order partial differential equations
TL;DR: The notion of viscosity solutions of scalar fully nonlinear partial differential equations of second order provides a framework in which startling comparison and uniqueness theorems, existence theorem, and continuous dependence may now be proved by very efficient and striking arguments as discussed by the authors.
Journal ArticleDOI
The design and use of steerable filters
TL;DR: The authors present an efficient architecture to synthesize filters of arbitrary orientations from linear combinations of basis filters, allowing one to adaptively steer a filter to any orientation, and to determine analytically the filter output as a function of orientation.
Journal ArticleDOI
Shape modeling with front propagation: a level set approach
TL;DR: In this article, the authors proposed a shape model based on the Hamilton-Jacobi approach to shape modeling, which retains some of the attractive features of existing methods and overcomes some of their limitations.